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Moldova possesses the largest area of farmland as a share of its total land surface, an advantage which should encourage economic development strategies oriented towards the agriculture sector. Government subsidies and agriculture loans have been used as tools for developing the Moldavian agriculture. However, considering the challenges generated by both climate change (the drought from year 2012 that affected 80% of farmland) and a difficult political situation (restrictions imposed by the Russian Federation on the Republic of Moldova’s agri-food imports and exports between 2013 and 2014), the country’s agricultural system ranks very low when it comes to agricultural production efficiency. The present paper analyses the performances of the agricultural sector and its impact on the Moldavian economy over a nine-year period (between 2008 and 2016), by using a custom-developed analytical framework based on a dataset containing 21 relevant indicators. The analytical framework generates various perspectives that can be used to elaborate an economic sustainable development strategy of the Moldavian agriculture sector. The development of the analytical framework is based on the dynamics of agriculture subsidies, agricultural loans, the agricultural sector’s gross domestic product (GDP) and gross value added (GVA), as well as the dynamics of agricultural production and production value, also considering the main crops belonging to the Moldavian agriculture sector. The results are presented as sets of mathematical regression models that quantify the relationships found between the relevant agricultural parameters and their impact on the economics of the agricultural sector. It has been identified that the agriculture sector has a considerable impact on the Moldavian economy, a fact revealed by the significant model between the agriculture GVA and total GVA and GDP. A significant, negative correlation model was identified between agriculture subsidies and agriculture loans, although a small percentage of Moldavian agriculture farms were subsidized. Strong correlation models were also identified between wheat and maize production and total agriculture production, emphasizing the importance of these two crops for the Moldavian agricultural economy. Grape and maize production values also generated a correlation model, emphasizing the market interconnection between these crops It can be concluded that the increase in value of governmental agriculture subsidies, as well as expanding their addressability in order to maximize the access possibility for a higher number of agriculture farms, are essential for the Moldavian agriculture sector’s future development, since considering the limiting value of and accessibility to subsidies, a direct correlation model was identified between governmental agriculture subsidies and agriculture GVA.
Ștefan-Mihai Petrea; Dragos Sebastian Cristea; Maria Magdalena Turek Rahoveanu; Cristina Gabriela Zamfir; Adrian Turek Rahoveanu; Gheorghe Adrian Zugravu; Dumitru Nancu. Perspectives of the Moldavian Agricultural Sector by Using a Custom-Developed Analytical Framework. Sustainability 2020, 12, 1 .
AMA StyleȘtefan-Mihai Petrea, Dragos Sebastian Cristea, Maria Magdalena Turek Rahoveanu, Cristina Gabriela Zamfir, Adrian Turek Rahoveanu, Gheorghe Adrian Zugravu, Dumitru Nancu. Perspectives of the Moldavian Agricultural Sector by Using a Custom-Developed Analytical Framework. Sustainability. 2020; 12 (11):1.
Chicago/Turabian StyleȘtefan-Mihai Petrea; Dragos Sebastian Cristea; Maria Magdalena Turek Rahoveanu; Cristina Gabriela Zamfir; Adrian Turek Rahoveanu; Gheorghe Adrian Zugravu; Dumitru Nancu. 2020. "Perspectives of the Moldavian Agricultural Sector by Using a Custom-Developed Analytical Framework." Sustainability 12, no. 11: 1.
Automation and digitalization, as long-term evolutionary processes, cause significant effects, such as the transformation of occupations and job profiles, changes to employment forms, and a more significant role for the platform economy, generating challenges for social policy. This systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior. A search on the Web of Science identified 160 papers that met the inclusion criteria. The major objectives aimed to identify: the main types of influences of the Industry 4.0 Revolution on human capital development and consumer behavior; the main opportunities and challenges for new directions in education associated with shifting the work environment; and the drivers for human capital development and consumer behavior through the lenses of the Industry 4.0 Revolution. The results revealed some key aspects for the development of human capital: information, new jobs, the Internet, technology, training, education, new skills, automation, communication, innovativeness, professionals, productivity, artificial intelligence, digitalization, e-recruitment, and the Internet of Things, as well as the main drivers of consumer behavior: information, e-commerce, digitalization, the Internet of Things, e-distribution, technology, digitalization, automation, personalized, performance, artificial intelligence, behavior intention, e-shopping, and data mining.
Violeta Sima; Ileana Georgiana Gheorghe; Jonel Subić; Dumitru Nancu. Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review. Sustainability 2020, 12, 4035 .
AMA StyleVioleta Sima, Ileana Georgiana Gheorghe, Jonel Subić, Dumitru Nancu. Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review. Sustainability. 2020; 12 (10):4035.
Chicago/Turabian StyleVioleta Sima; Ileana Georgiana Gheorghe; Jonel Subić; Dumitru Nancu. 2020. "Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review." Sustainability 12, no. 10: 4035.